IBM scientists propose a linear-complexity search tool that avoids wasteful and repetitive computations and reduces the average time complexity to linear - potential applications include addressing fake news.

Over the past decades, the aggressive scaling of transistors made on rigid silicon wafers has steadily boosted the performance of personal electronics and supercomputers. For emerging applications like real-time analytics...

IBM scientists have developed an experimental offering named IBM PAIRS Geoscope, a cloud-centric information, discovery, and analytics service that rapidly explores and analyzes massive complex geospatiotemporal data sets.

CellCycleTRACER is a supervised machine learning algorithm which classifies and sorts single-cell mass cytometry data according to their cell cycle, and enables correction for cell-cycle-state and cell-volume heterogeneity – essentially...

IBM Fellow Hugo Krawczyk is awarded the Levchin Prize for Contributions to Cryptography and is recognized for developing fundamental and lasting contributions to the theoretical and practical foundations of cryptography...

IBM and CHDI Foundation have published research1 detailing structural features of huntingtin proteins that could point toward future therapeutic strategies that should consider both the way the protein aggregates (accumulates...

The Lancet’s EBioMedicine journal published a study led by scientists from IBM Research-Australia and the University of Melbourne marking important progress in personalized seizure forecasting with AI.

Scientists from the MIT IBM Watson AI Lab developed the Moments in Time Dataset, a large-scale, human-annotated dataset of one million, three-second video clips for action recognition created to accelerate...

Over the last few months, we’ve shared some videos from members of our research team explaining key concepts in quantum computing. We told you about superposition, entanglement, and quantum algorithms....

Some of the most important technical advances of the 20th century were enabled by decades of fundamental scientific exploration, whose initial purpose was simply to extend human understanding. When Einstein...

Before joining IBM Research in Cambridge in September 2016, I completed a three-year postdoctoral training program at Massachusetts General Hospital (MGH), working closely with Harvard faculty. Now, a collaboration between...

Today, IBM Research is announcing that its scientists have demonstrated that an unsupervised machine-learning algorithm, running on one million phase change memory (PCM) devices, successfully found temporal correlations in unknown...

At roughly 50 qubits, existing methods for calculating quantum amplitudes require either too much computation to be practical, or more memory than is available on any existing supercomputer, or both....

Imagine covering the globe with a sheet of artificial, internet-enabled neurons. And these Internet of Things (IoT) neurons could send their local information to other neurons just like the synapses...

During the past year, the Cognitive Horizons Network has quickly generated results, including more than 70 peer-reviewed publications about the development of core technologies needed to advance the promise of...